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US20100150265A1 - Antenna selection method and radio communication device - Google Patents

Antenna selection method and radio communication device Download PDF

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Publication number
US20100150265A1
US20100150265A1 US12/088,664 US8866406A US2010150265A1 US 20100150265 A1 US20100150265 A1 US 20100150265A1 US 8866406 A US8866406 A US 8866406A US 2010150265 A1 US2010150265 A1 US 2010150265A1
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emission
antennas
matrix
upper triangular
channel
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Qiang Wu
Jifeng Li
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Panasonic Corp
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Matsushita Electric Industrial Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0602—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using antenna switching
    • H04B7/0608—Antenna selection according to transmission parameters
    • H04B7/061—Antenna selection according to transmission parameters using feedback from receiving side
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0691—Hybrid systems, i.e. switching and simultaneous transmission using subgroups of transmit antennas
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J99/00—Subject matter not provided for in other groups of this subclass

Definitions

  • the present invention relates to an antenna selection method and radio communication apparatus, and more particularly to an antenna selection method and radio communication apparatus that are applied to a MIMO (Multi Input Multi Output) detection method, and enable the transmission error rate and processing calculation amount to be reduced.
  • MIMO Multi Input Multi Output
  • MIMO technique is a major advance in the field of radio mobile communication technology.
  • MIMO technique refers to a technique in which a plurality of antennas are used in both transmission and reception of data.
  • the upper limit of capacity in a MIMO system increases linearly with an increase in the number of antennas on the transmitting side or the number of antennas on the receiving side, whichever is smaller.
  • the upper limit of capacity of a normal intelligent antenna system using a multiantenna arrangement or an array antenna on the receiving side or on the transmitting side increases as the logarithm of the number of antennas. Therefore, MIMO technique has very great potential for improving the capacity of a radio communication system, and is an important technique for use by next-generation mobile communication systems.
  • FIG. 1 is a block diagram showing the configuration of a typical MIMO radio communication system 100 using MIMO technique.
  • the transmitting side and receiving side perform transmission and reception using n T and n R antennas respectively.
  • a serial/parallel conversion section 101 and a plurality of transmitting antennas 102 - 1 , 102 - 2 , . . . , 102 - n T are provided on the transmitting side.
  • a plurality of receiving antennas 103 - 1 , . . . , 103 - n R , a channel estimation section 104 , and a MIMO detection section 105 are provided on the receiving side.
  • transmission data is first divided into n T data streams by serial/parallel conversion section 101 , and each data stream corresponds to one antenna 102 .
  • n R receiving antennas 103 receive signals, and channel estimation section 104 performs channel estimation based on the received signals and obtains a channel estimation matrix H_e.
  • MIMO detection section 105 performs MIMO detection on the received signals using channel estimation matrix H_e, demodulates the signals transmitted from the transmitting side, and obtains detected data.
  • the total number of possible combinations when K transmitting antennas are selected from among M transmitting antennas is C M K (for which the notation M C k may also be used).
  • these C M K combinations are traversed in accordance with a capacity computing equation—that is, a round of calculation is performed for all system capacities using all the combinations—and the combination for which the capacity is greatest is selected.
  • K columns (or rows) for which the norm is largest are selected from among all the columns (or rows), M columns (or rows), of a channel estimation matrix, and transmitting antennas corresponding to the selected columns (or rows) are selected as emission antennas used for transmission.
  • This method is simpler than the two methods described above, but also has inferior performances.
  • None of the above-described conventional transmitting antenna selection methods takes the MIMO detection method on the radio receiving side into consideration. Therefore, a further reduction in the transmission error rate is anticipated by selecting transmitting antennas through adaptation to the MIMO detection method on the radio receiving side.
  • an antenna selection method of the present invention is an antenna selection method that is used in a MIMO (Multi Input Multi Output) radio communication system and includes: a first step of arbitrarily selecting K columns (where K is a natural number greater than 0 and less than or equal to M) from an M-column channel estimation matrix composed of M transmitting antennas (where M is a natural number greater than 1) and configuring C M K selection determination channel matrices; a second step of performing QR decomposition respectively on the C M K selection determination channel matrices and obtaining C M K upper triangular matrices; a third step of finding a diagonal element minimum modular value of each of the C M K upper triangular matrices; a fourth step of selecting one upper triangular matrix for which the diagonal element minimum modular value is largest from among the C M K upper triangular matrices; and a fifth step of selecting K transmitting antennas composing a selection determination channel matrix corresponding to an upper triangular matrix selected in the fourth step as emission antennas.
  • Another aspect of the present invention is an antenna selection method that is used in a MIMO communication system and includes: a first step of selecting columns corresponding to already selected I ⁇ 1 emission antennas (where I is a natural number greater than 0) from an M-column channel estimation matrix composed of all of M transmitting antennas (where M is a natural number greater than 1) and configuring an I ⁇ 1-column emission channel matrix; a second step of selecting columns corresponding to M ⁇ I+1 candidate transmitting antennas other than the I ⁇ 1 emission antennas from the channel estimation matrix and configuring an M ⁇ I+1-column candidate channel matrix; a third step of adding one arbitrary column of the candidate channel matrix to the emission channel matrix and configuring M ⁇ I+1 selection determination channel matrices; a fourth step of performing QR decomposition on the M ⁇ I+1 selection determination channel matrices and obtaining M ⁇ I+1 upper triangular matrices; a fifth step of finding a diagonal element minimum modular value of each of the M ⁇ I+1 upper triangular matrices;
  • the present invention reduces the transmission error rate and the amount of processing calculation by selecting transmitting antennas on the transmitting side through adaptation to a receiving-side feedback determination MIMO detection method.
  • FIG. 1 is a block diagram showing the configuration of a conventional MIMO radio communication system
  • FIG. 2 is a block diagram showing the main configuration of a MIMO radio communication system according to Embodiment 1 of the present invention
  • FIG. 3 is a block diagram showing the main configuration of a MIMO radio communication system according to Embodiment 2 of the present invention.
  • FIG. 4 is a flowchart showing the procedure of an antenna selection method of a transmitting antenna selection section according to Embodiment 2 of the present invention.
  • FIG. 5 is a flowchart summarizing the procedure of an antenna selection method of a transmitting antenna selection section according to this embodiment
  • FIG. 6 is a graph comparing the BER performance of different transmitting antenna selection methods
  • FIG. 7 is a graph comparing the BER performance of different transmitting antenna selection methods.
  • FIG. 8 is a block diagram showing the main configuration of a MIMO radio communication system according to Embodiment 3 of the present invention.
  • FIG. 2 is a block diagram showing the main configuration of a MIMO radio communication system 200 according to Embodiment 1 of the present invention.
  • MIMO radio communication system 200 includes a radio transmitting apparatus 250 and a radio receiving apparatus 260 .
  • Radio transmitting apparatus 250 is equipped with a data processing section 201 , a transmitting antenna selection section 204 , and M transmitting antennas 205 - 1 through 205 -M.
  • Radio receiving apparatus 260 is equipped with N receiving antennas 207 - 1 through 207 -N, a channel estimation section 202 , and a MIMO detection section 206 .
  • data processing section 201 performs processing such as serial/parallel conversion, encoding, and modulation on data, and outputs the obtained data stream to transmitting antenna selection section 204 .
  • Transmitting antenna selection section 204 selects K antennas to be used for transmitting from among the M transmitting antennas 205 based on channel estimation matrix H_e fed back from radio receiving apparatus 260 .
  • the selected K transmitting antennas are referred to as emission antennas.
  • Transmitting antenna selection section 204 transmits the data stream inputted from data processing section 201 via the selected K emission antennas.
  • the N receiving antennas 207 receive a spatial signal containing a training sequence transmitted from transmitting antennas 205 , and output this to channel estimation section 202 .
  • Channel estimation section 202 obtains channel estimation matrix H_e corresponding to all the transmitting antennas based on the training sequence, and periodically feeds back obtained channel estimation matrix H_e to transmitting antenna selection section 204 of radio transmitting apparatus 250 via a feedback channel 203 .
  • MIMO detection section 206 performs determination feedback MIMO detection, and detects data transmitted from radio transmitting apparatus 250 .
  • the determination feedback MIMO detection method used by MIMO detection section 206 will now be described.
  • the determination feedback MIMO detection method used in MIMO detection section 206 when detecting the m'th data, the m'th data is estimated and detected after interference of the preceding m ⁇ 1 data items is eliminated from the received signal using the determinations—that is, estimation results—of the preceding m ⁇ 1 data items. That is to say, a characteristic of the determination feedback MIMO detection method is that determination results of previous data are fed back and used recursively in data detection.
  • a MIMO detection method based on QR decomposition which is a typical example of a determination feedback MIMO detection method.
  • Equation (1) a received signal is indicated by Equation (1) below.
  • s denotes a transmission signal
  • y denotes a received signal
  • H_e denotes a channel estimation matrix
  • n denotes white Gaussian noise.
  • channel estimation matrix H_e undergoes QR decomposition in accordance with Equation (2) below.
  • Equation (3) By multiplying left-hand received signal y shown in Equation (1) by Q H , Equation (3) and Equation (4) below are obtained.
  • Q indicates demodulation.
  • MIMO detection section 206 performs detection of transmission signal s from the end (last item) of upper triangular matrix R. That is to say, first, in accordance with Equation (4), estimation value ⁇ M of transmission signal s M transmitted from the M'th transmitting antenna (the total number of transmitting antennas being M) is obtained, and based on ⁇ M , transmission signal s M ⁇ 1 transmitted from transmitting antenna M ⁇ 1 is estimated and estimation value ⁇ M ⁇ 1 is obtained. Similarly, when estimating transmission signal s n ⁇ 1 transmitted from the m'th transmitting antenna, estimation value ⁇ m is obtained using estimation values ⁇ m+1 through ⁇ M of transmission data m+1 through M. By repeating this kind of estimation, transmission signals transmitted from all transmitting antennas from the M'th to the 1st are estimated.
  • channel estimation matrix H_e is an N ⁇ M (2 ⁇ 4) matrix.
  • transmitting antenna selection section 204 of radio transmitting apparatus 250 selects K antennas from among the M transmitting antennas as emission antennas. Since each column of channel estimation matrix H_e corresponds to a transmitting antenna, selecting K antennas from among the M transmitting antennas means selecting K columns (where K columns correspond to K transmitting antennas) from the M columns of H_e, and the N ⁇ K matrix comprising the selected K columns is designated selection determination channel matrix H_c.
  • C M K selection determination channel matrices H_c there are M C k (for which the notation C M K may also be used) ways of selecting K transmitting antennas from among the M transmitting antennas in transmitting antenna selection section 204 —that is, C M K selection determination channel matrices H_c can be configured.
  • Transmitting antenna selection section 204 performs QR decomposition for the C M K possible H_c's, and obtains C M K upper triangular matrices R as C M K mutually different QR decomposition results. Then transmitting antenna selection section 204 finds minimum value of the diagonal element modular (the diagonal element minimum modular value) in each R. Next, one upper triangular matrix R for which the diagonal element minimum modular value is largest is selected from among the C M K upper triangular matrices R.
  • an H_c corresponding to the selected R that is, an H_c that satisfies Equation (5)—is decided.
  • K emission antennas corresponding to H_c are decided.
  • H arg ⁇ ⁇ max H ⁇ ⁇ min ⁇ ⁇ R 11 2 , ... ⁇ , R KK 2 ⁇ ( 5 )
  • R kk Diagonal element of upper triangular matrix R (1 ⁇ k ⁇ K)
  • R kk Diagonal element of upper triangular matrix R (1 ⁇ k ⁇ K)
  • reception SNR k is proportional to
  • a transmitting antenna selection section arbitrary selects K columns from the M columns of a channel estimation matrix and configures a plurality of selection determination channel matrices H_c, and selects transmitting antennas based on QR decomposition of the configured plurality of selection determination channel matrices H_c, thereby enabling the transmission error rate to be reduced.
  • FIG. 3 is a block diagram showing the main configuration of a MIMO radio communication system 300 according to Embodiment 2 of the present invention.
  • MIMO radio communication system 300 has the same basic configuration as MIMO radio communication system 200 shown in Embodiment 1 (see FIG. 2 ), and therefore identical configuration elements are assigned the same reference numerals, and descriptions thereof are omitted.
  • FIG. 4 is a flowchart showing the procedure of an antenna selection method used by transmitting antenna selection section 304 .
  • the antenna selection method used by transmitting antenna selection section 304 also, a case in which K antennas are selected from among M transmitting antennas is taken as an example.
  • I is a counter that counts K emission antennas from 1 to K
  • H denotes an emission channel matrix composed of the selected I ⁇ 1 emission antennas.
  • Hs_e denotes a matrix obtained by eliminating columns corresponding to the selected I ⁇ 1 emission antennas.
  • Hs_e is an N ⁇ (M ⁇ I+1) channel matrix composed of M ⁇ I+1 candidate transmitting antennas other than the I ⁇ 1 emission antennas selected from among the M transmitting antennas, and is hereinafter referred to as a candidate channel matrix.
  • transmitting antenna selection section 304 compares I and K.
  • transmitting antenna selection section 304 determines that all K emission antennas have been selected, and directs the processing procedure to ST 310 .
  • transmitting antenna selection section 304 outputs the selected K emission antenna numbers and channel matrix H composed of K emission antennas.
  • transmitting antenna selection section 304 initializes selection determination channel matrix H_c using a channel matrix composed of the selected I ⁇ 1 emission antennas and the first of the M ⁇ I+1 candidate transmitting antennas.
  • transmitting antenna selection section 304 adds the first column of candidate channel matrix Hs_e to channel matrix H and initializes selection determination channel matrix H_c using the obtained channel matrix.
  • selection determination channel matrix H_c is a channel matrix obtained by adding the column corresponding to antenna number J(1 ⁇ J ⁇ M ⁇ I+1) from among the M ⁇ I+1 candidate transmitting antennas—that is, column number J(1 ⁇ J ⁇ M ⁇ I+1) of candidate channel matrix Hs_e—to channel matrix H composed of the selected I ⁇ 1 emission antennas.
  • transmitting antenna selection section 304 determines whether or not J ⁇ col.
  • M ⁇ I+1 H_c's for a fixed I, one of which is selected by means of loop processing of ST 304 through ST 308 .
  • Transmitting antenna selection section 304 selects the candidate transmitting antenna composing H_c selected by means of these steps as the I'th emission antenna.
  • Transmitting antenna selection section 304 performs QR decomposition of H_c obtained in these steps, and stores the square of the diagonal element minimum modular value of the obtained upper triangular matrix R in variable s 1 .
  • transmitting antenna selection section 304 determines whether or not s 1 >s_min.
  • s_min is a variable for storing the largest value from among the diagonal element minimum modular values of the M ⁇ I+1 upper triangular matrices R obtained by QR decomposition. That is to say, in this step, s_min stores the largest of the J s 1 's corresponding to the J H_c's calculated thus far.
  • the J'th antenna of the M ⁇ I+1 candidate transmitting antennas is tentatively determined to be the I'th emission antenna, and H 1 is set using the relevant H_c.
  • H 1 is a channel matrix composed of transmitting antennas tentatively determined to be the I'th emission antenna, and will here be referred to as a tentative emission channel matrix.
  • step ST 306 If it is determined in ST 306 that s 1 ⁇ s_min (ST 306 : NO), the processing proceeds to step ST 308 .
  • transmitting antenna selection section 304 determines that ST 304 through ST 308 loop processing has been completed for all the M ⁇ I+1 candidate transmitting antennas, and directs the processing procedure to ST 309 .
  • QR decomposition is performed on four H_c's, four R's are obtained.
  • the diagonal element minimum modular value in each R is R itself. By selecting the largest of these four minimum modular values, the H_c corresponding thereto can be found.
  • the transmitting antenna corresponding to one column composing this found H_c is the first emission antenna selected by transmitting antenna selection section 304 .
  • there are M ⁇ I+1 ways of selecting the I'th emission antenna corresponding to M ⁇ 1 H 2 's, with H 2 being N ⁇ 2 (Hk being N ⁇ k).
  • the second emission antenna is selected from the three possibilities using the same method as for selecting the first emission antenna described above.
  • the antenna selection method shown in the flowchart in FIG. 4 is illustrated below using an actual numeric example of a channel estimation matrix.
  • H_c [H Hs_e(:,J)] (1 ⁇ J ⁇ M ⁇ I+1)
  • H_c is a 1-column matrix
  • upper triangular matrices R (R 1 through R 4 ) are single numeric values
  • the diagonal element minimum modular value is the numeric value itself.
  • the squares of the four diagonal element minimum modular values are 0.7747, 0.1650, 1.9613, and 0.3618, and the column of Hs_e corresponding to the largest of these values, 1.9613, is as follows:
  • transmitting antenna selection section 304 makes the following setting:
  • transmitting antenna selection section 304 eliminates the third column of Hs_e, and obtains the following:
  • An antenna selection method can be summarized as follows.
  • FIG. 5 is a flowchart summarizing the procedure of an antenna selection method according to this embodiment.
  • an M-column channel estimation matrix H_e is fed back to the transmitting side from the receiving side.
  • an antenna selection method is an antenna selection method that is used in a MIMO (Multi Input Multi Output) radio communication system and includes: a first step of selecting columns corresponding to already selected I ⁇ 1 emission antennas (where I is a natural number greater than 0) from an M-column channel estimation matrix composed of all of M transmitting antennas (where M is a natural number greater than 1) and configuring an (I ⁇ 1)-column emission channel matrix; a second step of selecting columns corresponding to M ⁇ I+1 candidate transmitting antennas other than the I ⁇ 1 emission antennas from the channel estimation matrix and configuring an (M ⁇ I+1)-column candidate channel matrix; a third step of adding one arbitrary column of the candidate channel matrix to the emission channel matrix and configuring M ⁇ I+1 selection determination channel matrices; a fourth step of performing QR decomposition on the M ⁇ I+1 selection determination channel matrices and obtaining M ⁇ I+1 upper triangular matrices;
  • FIG. 6 is a graph comparing BER (Bit Error Rate) performance obtained when transmitting antenna selection is performed using different antenna selection methods in a MIMO radio communication system in which MIMO detection is performed based on QR decomposition.
  • “Simultaneous QR” shows BER performance obtained when using an antenna selection method according to Embodiment 1 of the present invention—that is, a method whereby QR decomposition is performed on selection determination channel matrices corresponding to C M K selection ways and K emission antennas are selected simultaneously.
  • “Norm” shows BER performance obtained when using a norm-based antenna selection method
  • “Repeated QR” shows BER performance obtained when using an antenna selection method according to Embodiment 2 of the present invention—that is, a method whereby emission antennas up to K in number are selected one by one based on QR decomposition.
  • “Capacity optimization” shows BER performance obtained when using an itinerant antenna selection method based on capacity optimization.
  • BER performance improves in the following order: “Non-selection”, “Norm”, “Repeated QR”, “Capacity optimization”, “Simultaneous QR”.
  • the BER performance of a “Norm” based transmitting antenna selection method does not show major improvement over the BER performance in the case of “Non-selection”, BER performance is almost the same for a “Simultaneous QR” transmitting antenna selection method and a “Capacity optimization” transmitting antenna selection method, and the BER performance of a “Repeated QR” transmitting antenna selection method is slightly poorer than the BER performance of a “Simultaneous QR” antenna selection method.
  • a “Repeated QR” antenna selection method is superior to a “Simultaneous QR” antenna selection method in requiring a smaller amount of calculation.
  • the amount of calculation with a “Repeated QR” antenna selection method and the amount of calculation with a “Simultaneous QR” antenna selection method are described below.
  • the amount of calculation when QR decomposition is performed on an m ⁇ n matrix C is 2 mn 2 . Therefore, when the number of receiving antennas is N and K emission antennas are selected from among M transmitting antennas, the amount of calculation with a “Simultaneous QR” antenna selection method is C m K ⁇ (2 NK 2 ).
  • ⁇ I 1 K ⁇ ( M - I + 1 ) ⁇ ( NI 2 ) ( 7 )
  • Equation (7) The value shown in Equation (7) is smaller than C M K ⁇ (2 NK 2 ). That is to say, the amount of calculation with a “Repeated QR” antenna selection method is less than the amount of calculation with a “Simultaneous QR” antenna selection method.
  • FIG. 7 is a graph comparing BER (Bit Error Rate) performance obtained when transmitting antenna selection is performed using different antenna selection methods in a MIMO radio communication system in which the receiving-side MIMO detection section performs MIMO detection based on SQR (sequencing QR).
  • BER Bit Error Rate
  • BER performance improves in the following order: “Norm”, “Repeated QR”, “Simultaneous QR”, “Capacity optimization”.
  • the BER performance of a “Norm” based transmitting antenna selection method is almost the same as the BER performance of the “Norm” based transmitting antenna selection method shown in FIG. 6 , and the BER performance of a “Repeated QR” based transmitting antenna selection method is very close to the BER performance of a “Simultaneous QR” or “Capacity optimization” based transmitting antenna selection method.
  • a “Repeated QR” based antenna selection method has the advantage of a smaller amount of calculation than a “Simultaneous QR” or “Capacity optimization” based transmitting antenna selection method. A detailed description is omitted here.
  • emission antennas are selected one by one up to K emission antennas based on QR decomposition, thereby enabling the transmission error rate to be reduced and the amount of calculation in antenna selection processing to be reduced.
  • the radio transmitting apparatus can calculate the SNR of a signal transmitted from each emission antenna in accordance with Equation (6) using average noise power fed back from the radio receiving apparatus.
  • Equation (9) SNR k shown in Equation (6) is as shown in Equation (9) below.
  • the radio transmitting apparatus of the MIMO radio communication system can perform power distribution for the respective emission antennas in accordance with the Water Filling principle. If the total power to be distributed to K emission antennas is designated P total , transmission power P(k) distributed to each emission antenna based on Equation (8) and Equation (9) can be calculated by means of Equation (10) below.
  • the SNR of each emission antenna is then calculated anew based on the power distribution results, and a modulation method used for data transmitted by each emission antenna is selected from an adaptive modulation parameter table based on the calculated new SNR values.
  • FIG. 8 is a block diagram showing the main configuration of a MIMO radio communication system 400 according to this embodiment.
  • MIMO radio communication system 400 has the same basic configuration as MIMO radio communication system 300 shown in Embodiment 2 (see FIG. 3 ), and therefore identical configuration elements are assigned the same reference numerals, and descriptions thereof are omitted.
  • MIMO radio communication system 400 differs from MIMO radio communication system 300 in also including a power distribution/modulation method selection section 403 . There is also a difference in part of the processing of channel estimation section 402 and transmitting antenna selection section 404 of MIMO radio communication system 400 , and channel estimation section 202 and transmitting antenna selection section 304 of MIMO radio communication system 300 , and different reference numerals are assigned to indicate this. In addition, different reference numerals are also assigned to a radio transmitting apparatus 450 and radio receiving apparatus 460 of MIMO radio communication system 400 , and radio transmitting apparatus 350 and radio receiving apparatus 260 of MIMO radio communication system 300 .
  • Channel estimation section 402 obtains channel estimation matrix H_e corresponding to all the transmitting antennas based on a training sequence transmitted from radio transmitting apparatus 450 , and feeds back obtained channel estimation matrix H_e to transmitting antenna selection section 404 of radio transmitting apparatus 450 via feedback channel 203 .
  • Channel estimation section 402 also calculates average noise power ⁇ 2 , and and feeds this back to power distribution/modulation method selection section 403 of radio transmitting apparatus 450 via feedback channel 203 .
  • power distribution/modulation method selection section 403 performs power distribution for the K emission antennas selected by transmitting antenna selection section 404 based on the Water Filling principle.
  • Power distribution/modulation method selection section 403 also calculates the SNR of each of the K emission antennas anew based on the power distribution results, and selects a modulation method corresponding to each emission antenna from an adaptive modulation parameter table based on the calculated new SNR values.
  • Power distribution/modulation method selection section 403 outputs the selected modulation methods to data processing section 201 .
  • Data processing section 201 uses the modulation methods inputted from power distribution/modulation method selection section 403 when performing modulation processing.
  • power distribution/modulation method selection section 403 executes power distribution/modulation method selection processing that includes: a step of configuring an emission channel matrix composed of K emission antennas; a step of performing QR decomposition on the emission channel matrix and obtaining an upper triangular matrix; a step of calculating the SNR (Signal to Noise Ratio) of the K emission antennas using a diagonal element modular value of an upper triangular matrix obtained in that step; and a step of performing power distribution and modulation method selection for the K emission antennas based on the SNR.
  • SNR Signal to Noise Ratio
  • the SNR of a selected emission antenna is calculated anew based on the results of antenna selection based on QR decomposition, and power distribution is performed for each emission antenna based on the calculated SNR, thereby enabling the emission antenna bit error rate to be further reduced.
  • MIMO radio communication system 400 has the same basic configuration as MIMO radio communication system 300 shown in Embodiment 2 (see FIG. 3 ), but MIMO radio communication system 400 may also have the same basic configuration as MIMO radio communication system 200 shown in Embodiment 1 (see FIG. 2 ).
  • An antenna selection method and radio communication apparatus are not limited to the above-described embodiments, and various variations and modifications may be possible without departing from the scope of the present invention. For example, it is possible for the embodiments to be implemented in combination as appropriate.
  • a radio communication apparatus can be installed in a communication terminal apparatus and base station apparatus in a MIMO radio communication type of mobile communication system, thereby enabling a communication terminal apparatus, base station apparatus, and mobile communication system to be provided that have the same kind of effects as described above.
  • the present invention is configured as hardware, but it is also possible for the present invention to be implemented by software.
  • the same kind of functions as those of a MIMO radio communication system according to the present invention can be realized by writing an algorithm of an antenna selection method according to the present invention in a programming language, storing this program in memory, and having it executed by an information processing section.
  • An antenna selection method according to the present invention is suitable for use in transmitting antenna selection in a MIMO radio communication system or the like.

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CNA200510108560XA CN1941664A (zh) 2005-09-30 2005-09-30 无线通信系统中基于判决反馈的发送天线选择方法和装置
CN200510108560.X 2005-09-30
PCT/JP2006/319556 WO2007037418A1 (ja) 2005-09-30 2006-09-29 アンテナ選択方法および無線通信装置

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EP3619820A1 (en) * 2017-05-05 2020-03-11 Intel Corporation Management of mimo communication systems

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